
تامینکننده
Novita AI
پلتفرم Novita AI با ارائه مجموعهای متنوع از مدلهای پیشرفته هوش مصنوعی مانند Llama-3، Qwen و Gemma، بستری قدرتمند برای توسعهدهندگان فراهم کرده است. این سرویس با تمرکز بر سرعت و کارایی، دسترسی به مدلهای متنباز و تخصصی را برای پردازش متن، تصویر و تحلیلهای پیچیده تسهیل میکند. چه به دنبال مدلهای زبانی بزرگ برای استدلال هوشمند باشید و چه مدلهای بینایی ماشین برای ویرایش تصویر، Novita AI ابزارهای لازم را در اختیار شما میگذارد. زیرساخت مقیاسپذیر این پلتفرم، اجرای مدلهای پیشرفته را برای پروژههای مقیاس بزرگ بهینه کرده است. با Novita AI، به راحتی مدلهای هوش مصنوعی مدرن را در اپلیکیشنهای خود یکپارچه کنید.
| مدل | نام مدل | مدل اصلی | ورودی ($/1M) | خروجی ($/1M) | رایگان |
|---|---|---|---|---|---|
|
|
Ling 3.0 Flash Fin | Ling 3.0 Flash Fin |
- | - | — |
|
|
Qwen3.8 Flash | Qwen3.8 Flash |
$0.15 | $0.47 | — |
|
|
GLM 5.3 Flash | GLM 5.3 Flash |
$0.08 | $0.25 | — |
|
|
Qwen3 Max | qwen/qwen3-max |
$2.11 | $8.45 | — |
|
|
MiniMax M1 | minimaxai/minimax-m1-80k |
$0.55 | $2.20 | — |
|
|
Qwen3 235B A22B Instruct 2507 | qwen/qwen3-235b-a22b-instruct-2507 |
$0.09 | $0.58 | — |
|
|
qwen/qwen3-vl-30b-a3b-thinking | qwen/qwen3-vl-30b-a3b-thinking |
$0.20 | $1.00 | — |
|
|
Kimi K2 Instruct | moonshotai/kimi-k2-instruct |
$0.57 | $2.30 | — |
|
|
Qwen3 VL 235B A22B Instruct | qwen/qwen3-vl-235b-a22b-instruct |
$0.30 | $1.50 | — |
|
|
Qwen3 Next 80B A3B Thinking | qwen/qwen3-next-80b-a3b-thinking |
$0.15 | $1.50 | — |
|
|
DeepSeek V3.1 | deepseek/deepseek-v3.1 |
$0.27 | $1.00 | — |
|
|
Qwen3 VL 235B A22B Thinking | qwen/qwen3-vl-235b-a22b-thinking |
$0.98 | $3.95 | — |
|
|
Qwen3 Coder 480B A35B Instruct | qwen/qwen3-coder-480b-a35b-instruct |
$0.38 | $1.55 | — |
|
|
Nemotron 3 Nano 30B A3B | Nemotron 3 Nano 30B A3B |
$0.05 | $0.20 | — |
|
|
MiniMax-M2 | minimax/minimax-m2 |
$0.30 | $1.20 | — |
|
|
Qwen3 235B A22b Thinking 2507 | qwen/qwen3-235b-a22b-thinking-2507 |
$0.30 | $3.00 | — |
|
|
Deepseek V3.2 Exp | deepseek/deepseek-v3.2-exp |
$0.27 | $0.41 | — |
|
|
Minimax M2.1 | minimax/minimax-m2.1 |
$0.30 | $1.20 | — |
|
|
MiMo-V2.5-Pro | xiaomimimo/mimo-v2.5-pro |
$0.52 | $1.04 | — |
|
|
Qwen3.6-35B-A3B | Qwen3.6-35B-A3B |
$0.25 | $1.49 | — |
|
|
Gemma 4 26B A4B | google/gemma-4-26b-a4b-it |
$0.13 | $0.40 | — |
|
|
Qwen3.5-35B-A3B | qwen/qwen3.5-35b-a3b |
$0.25 | $2.00 | — |
|
|
Deepseek V3.2 | Deepseek V3.2 |
$0.27 | $0.40 | — |
|
|
Gemma 4 31B | google/gemma-4-31b-it |
$0.14 | $0.40 | — |
|
|
XiaomiMiMo/MiMo-V2-Flash | xiaomimimo/mimo-v2-flash |
$0.10 | $0.30 | — |
|
|
Qwen3.5-27B | qwen/qwen3.5-27b |
$0.30 | $2.40 | — |
|
|
Kimi K2.7 Code | Kimi K2.7 Code |
$0.95 | $4.00 | — |
|
|
Qwen3.5-122B-A10B | qwen/qwen3.5-122b-a10b |
$0.40 | $3.20 | — |
|
|
Qwen3.6-27B | Qwen3.6-27B |
$0.60 | $3.60 | — |
|
|
Qwen3.5-397B-A17B | qwen/qwen3.5-397b-a17b |
$0.60 | $3.60 | — |
|
|
Ling-2.6-1T | inclusionai/ling-2.6-1t |
$0.30 | $2.50 | — |
|
|
Kimi K2.5 | moonshotai/kimi-k2.5 |
$0.60 | $3.00 | — |
|
|
Mistral Nemo | mistralai/mistral-nemo |
$0.04 | $0.17 | — |
|
|
Qwen3.8 Max | Qwen3.8 Max |
$2.00 | $6.00 | — |
|
|
MiniMax M3 | MiniMax M3 |
- | - | — |
|
|
Qwen3.7-Max | qwen/qwen3.7-max |
$1.25 | $3.75 | — |
|
|
MiMo-V2-Pro | xiaomimimo/mimo-v2-pro |
$2.00 | $6.00 | — |
|
|
Llama 3.3 70B Instruct | meta-llama/llama-3.3-70b-instruct |
$0.14 | $0.40 | — |
|
|
Qwen 2.5 72B Instruct | qwen/qwen-2.5-72b-instruct |
$0.38 | $0.40 | — |
|
|
Gemma 3 12B | google/gemma-3-12b-it |
$0.05 | $0.10 | — |
|
|
Gemma 3 27B | google/gemma-3-27b-it |
$0.12 | $0.20 | — |
|
|
DeepSeek R1 Distill Qwen 14B | deepseek/deepseek-r1-distill-qwen-14b |
$0.15 | $0.15 | — |
|
|
DeepSeek R1 Distill Qwen 32B | deepseek/deepseek-r1-distill-qwen-32b |
$0.30 | $0.30 | — |
|
|
DeepSeek R1 Distill LLama 70B | deepseek/deepseek-r1-distill-llama-70b |
$0.80 | $0.80 | — |
|
|
Qwen3 235B A22B | Qwen3 235B A22B |
$0.20 | $0.80 | — |
|
|
Llama 3.1 8B Instruct | meta-llama/llama-3.1-8b-instruct |
$0.02 | $0.05 | — |
|
|
GLM-5.1 | zai-org/glm-5.1 |
$1.38 | $4.40 | — |
|
|
GLM-4.7 | zai-org/glm-4.7 |
$0.60 | $2.20 | — |
|
|
GLM 4.6 | zai-org/glm-4.6 |
$0.55 | $2.20 | — |
|
|
GLM-4.5 | zai-org/glm-4.5 |
$0.60 | $2.20 | — |
|
|
glm-4.5-air | zai-org/glm-4.5-air |
$0.13 | $0.85 | — |
|
|
GLM-4.7-Flash | zai-org/glm-4.7-flash |
$0.07 | $0.40 | — |
|
|
qwen3-vl-30b-a3b-instruct | qwen/qwen3-vl-30b-a3b-instruct |
$0.20 | $0.70 | — |
|
|
qwen/qwen3-vl-8b-instruct | qwen/qwen3-vl-8b-instruct |
$0.08 | $0.50 | — |
|
|
Qwen3 Next 80B A3B Instruct | qwen/qwen3-next-80b-a3b-instruct |
$0.15 | $1.50 | — |
|
|
Kimi K2 0905 | moonshotai/kimi-k2-0905 |
$0.60 | $2.50 | — |
|
|
ERNIE-4.5-21B-A3B-Thinking | baidu/ernie-4.5-21B-a3b-thinking |
$0.07 | $0.28 | — |
|
|
ERNIE 4.5 VL 28B A3B | baidu/ernie-4.5-vl-28b-a3b |
$0.14 | $0.56 | — |
|
|
ERNIE-4.5-21B-A3B-Thinking | baidu/ernie-4.5-21B-a3b-thinking |
$0.07 | $0.28 | — |
|
|
Deepseek V3.1 Terminus | Deepseek V3.1 Terminus |
$0.27 | $1.00 | — |
| DeepSeek OCR Clarifai | DeepSeek-OCR | deepseek/deepseek-ocr |
$0.03 | $0.03 | — |
|
|
DeepSeek R1 0528 Qwen3 8B | deepseek/deepseek-r1-0528-qwen3-8b |
$0.06 | $0.09 | — |
|
|
GLM 4.6V | zai-org/glm-4.6v |
$0.30 | $0.90 | — |
|
|
GLM 4.5V | zai-org/glm-4.5v |
$0.60 | $1.80 | — |
|
|
ERNIE 4.5 VL 424B A47B | baidu/ernie-4.5-vl-424b-a47b |
$0.42 | $1.25 | — |
|
|
Ling 3.0 Flash | Ling 3.0 Flash |
$0.06 | $0.18 | — |
|
|
Kimi K2 Thinking | moonshotai/kimi-k2-thinking |
$0.60 | $2.50 | — |
|
|
Kimi K2 Thinking | moonshotai/kimi-k2-thinking |
$0.60 | $2.50 | — |
|
|
Hermes 2 Pro Llama 3 8B | nousresearch/hermes-2-pro-llama-3-8b |
$0.14 | $0.14 | — |
|
|
Gemma 4 31B | Gemma 4 31B |
$0.14 | $0.40 | — |
|
|
Gemma 4 26B A4B | Gemma 4 26B A4B |
$0.13 | $0.40 | — |
|
|
Gemma 3 27B | Gemma 3 27B |
$0.12 | $0.20 | — |
|
|
MiniMax-M2.7-highspeed | minimax/minimax-m2.7-highspeed |
$0.60 | $2.40 | — |
|
|
MiniMax M2.5 Highspeed | minimax/minimax-m2.5-highspeed |
$0.60 | $2.40 | — |
|
|
Llama 4 Maverick Instruct | meta-llama/llama-4-maverick-17b-128e-instruct-fp8 |
$0.27 | $0.85 | — |
|
|
Qwen3 Omni 30B A3B Thinking | qwen/qwen3-omni-30b-a3b-thinking |
$0.25 | $0.97 | — |
|
|
Qwen MT Plus | qwen/qwen-mt-plus |
$0.25 | $0.75 | — |
|
|
Qwen-Image Edit | Qwen-Image Edit |
- | - | — |
|
|
Qwen-Image | Qwen-Image |
- | - | — |
|
|
Ring-2.6-1T | inclusionai/ring-2.6-1t |
$0.30 | $2.50 | — |
|
|
qwen/qwen3-vl-30b-a3b-thinking | qwen/qwen3-vl-30b-a3b-thinking |
$0.20 | $1.00 | — |
|
|
Qwen3 VL 235B A22B Thinking | qwen/qwen3-vl-235b-a22b-thinking |
$0.98 | $3.95 | — |
|
|
Qwen3 Omni 30B A3B Instruct | qwen/qwen3-omni-30b-a3b-instruct |
$0.25 | $0.97 | — |
|
|
Qwen3 Max | qwen/qwen3-max |
$2.11 | $8.45 | — |
|
|
Qwen3 Coder Next | qwen/qwen3-coder-next |
$0.20 | $1.50 | — |
|
|
Qwen3 Coder 30b A3B Instruct | qwen/qwen3-coder-30b-a3b-instruct |
$0.07 | $0.27 | — |
|
|
Flux.1 Kontext Pro | Flux.1 Kontext Pro |
- | - | — |
|
|
Flux.1 Kontext Max | Flux.1 Kontext Max |
- | - | — |
|
|
Flux.1 Kontext Dev | Flux.1 Kontext Dev |
- | - | — |
|
|
Deepseek V3.2 | Deepseek V3.2 |
$0.27 | $0.40 | — |
|
|
Deepseek V3.1 Terminus | Deepseek V3.1 Terminus |
$0.27 | $1.00 | — |
| WizardLM-2 8x22B microsoft | Wizardlm 2 8x22B | microsoft/wizardlm-2-8x22b |
$0.62 | $0.62 | — |
|
|
Wan 2.6 | Wan 2.6-5s-720P |
- | - | — |
|
|
Step 3.7 Flash | Step 3.7 Flash |
$0.20 | $1.15 | — |
|
|
MiniMax M1 | MiniMax M1 |
$0.55 | $2.20 | — |
|
|
Llama 4 Scout Instruct | meta-llama/llama-4-scout-17b-16e-instruct |
$0.18 | $0.59 | — |
|
|
Llama3 70B Instruct | meta-llama/llama-3-70b-instruct |
$0.51 | $0.74 | — |
|
|
Llama 3 8B Instruct | meta-llama/llama-3-8b-instruct |
$0.04 | $0.04 | — |
|
|
Qwen2.5 VL 72B Instruct | qwen/qwen2.5-vl-72b-instruct |
$0.80 | $0.80 | — |
|
|
OpenAI: GPT OSS 20B | openai/gpt-oss-20b |
$0.04 | $0.15 | — |
|
|
OpenAI GPT OSS 120B | openai/gpt-oss-120b |
$0.05 | $0.25 | — |
مدلی با این مشخصات پیدا نشد.